Post-quake structural damage evaluation by neural networks: theory and calibration-Reference-Cited by-同舟云学术

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Post-quake structural damage evaluation by neural networks: theory and calibration

Published:2017-03-29 Issue:6 Volume:23 Page:710-727
ISSN:1964-8189
Container-title:European Journal of Environmental and Civil Engineering
language:en
Short-container-title:European Journal of Environmental and Civil Engineering

Author:

Noura Hichem¹²³,Mebarki Ahmed¹,Abed Mohamed²

Affiliation:

1. University Paris-Est, Laboratory Modélisation et Simulation Multi Echelle MSME (UMR 8208 CNRS) , Marne-la-Vallée Cedex 2, France

2. Civil Engineering Department, Faculty of Technology, University Saâd Dahled Blida 1 , Blida, Algeria

3. Faculty of Sciences and Technology, University Djilali Bounâama , Khemis Miliana, Algeria

Publisher

Informa UK Limited

Subject

Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/19648189.2017.1304277

Reference40 articles.

1. Seismic vulnerability of low-rise residential buildings based on damage data from three earthquakes (M w 6.5, 6.5 and 6.3)

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing seismic assessment and risk management of buildings: A neural network-based rapid visual screening method development;Engineering Structures;2024-04

2. Experimental Investigation on the Post-impact Behavior of Normal-Strength Reinforced Concrete Beams Subjected to Drop-Weight Impact Loads;Arabian Journal for Science and Engineering;2023-03-11

3. Post-earthquake damage classification and assessment: case study of the residential buildings after the Mw = 5 earthquake in Mila city, Northeast Algeria on August 7, 2020;Bulletin of Earthquake Engineering;2022-11-21

4. Theoretical Correlations Between the Cumulative Absolute Velocity and Performance Point for a Seismic Analysis of Framed Structures;Slovak Journal of Civil Engineering;2022-03-01

5. Post-disaster damage assessment of structures by neural networks;EARTHQ STRUCT;2021

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